Data Centers Monitoring Using IoT

• Greice Welter Advanced Research Laboratory for Cloud Computing, Três de Maio Educational Society, Brazil (LARCC)
• Adriano Vogel Advanced Research Laboratory for Cloud Computing, Três de Maio Educational Society, Brazil (LARCC) https://orcid.org/0000-0003-3299-2641
• Claudio Schepke Federal University of Pampa (UNIPAMPA) https://orcid.org/0000-0003-4118-8831

DOI: https://doi.org/10.5753/errc.2024.4648

Abstract

This article investigates how to implement a monitoring system for data centers, using the Internet of Things (IoT) to integrate intelligent sensors that continuously monitor environmental conditions such as temperature and humidity. The motivation for this study arises from the need to ensure the operational efficiency and security of data centers, which face challenges such as the inaccuracy of sensors and the difficulty of real-time access to data. Related work has limitations, such as dependence on proprietary solutions and lack of flexibility in implementation and customization. The purpose of this article is to develop an automated system that uses DHT22 and All3008 sensors connected to ESP8266 microcontrollers, allowing data to be collected and transmitted in real-time to a cloud database, which also makes it possible to visualize the data with an interactive interface for operators. The results demonstrate the system’s effectiveness in monitoring environmental conditions, contributing to better management of computing environments, and preventing equipment failures.

Keywords: Data center, IoT, Monitoring

References

Soares, M. J. Data Center-A Importância de Uma Arquitectura. 2011. Diss. (Mestrado) – Universidade de Evora (Portugal).

Griebler, D. et al. Performance of Data Mining, Media, and Financial Applications under Private Cloud Conditions. In: IEEE Symposium on Computers and Communications (ISCC). Natal, Brazil: IEEE, jun. 2018.

Teixeira, D.; Vogel, A.; Griebler, D. Proposta de Monitoramento e Gerenciamento Inteligente de Temperatura em Datacenters. In: 16TH Escola Regional de Redes de Computadores (ERRC). Alegrete, Brazil: Sociedade Brasileira de Computação, 2019. P. 1–8. Disponível em: [link].

Sadewa, E.; Beta, S. Temperature, Humidity, and Power Outage Monitoring System of Pamapersada Nusantara’s Server Racks. JAICT, v. 7, n. 2, p. 90–96, 2022.

Widodo, A. M. et al. Internet of Things (IoT) Based Multi-server Room Temperature and Humidity Monitoring and Automatic Controlling by Using Fuzzy Logic Controller. In: MIMSE. Atlantis Press, 2022. P. 76–88. ISBN 978-94-6463-084-8. DOI: 10.2991/978-94-6463-084-8_9.

Kusumah, R.; Islam, H.; Sobur, S. Sistem Monitoring Suhu dan Kelembaban Berbasis Internet of Things (IoT) Pada Ruang Data Center. Journal of Applied Informatics and Computing, v. 7, n. 1, p. 88–94, jul. 2023. DOI: 10.30871/jaic.v7i1.5199. Disponível em: [link].

Kurniawan, D. E. et al. Smart Monitoring Temperature and Humidity of the Room Server Using Raspberry Pi and Whatsapp Notifications. Journal of Physics: Conference Series, IOP Publishing, v. 1351, n. 1, p. 012006, nov. 2019. DOI: 10.1088/1742-6596/1351/1/012006.

Oliveira Júnior, A. J. de et al. AVALIAÇÃO DA PRECISÃO DE MEDIÇÃO DO SENSOR DE TEMPERATURA E UMIDADE RELATIVA DO AR AM2302. In: IV JORNACITEC. 2015.

Vogel, A. et al. A comprehensive benchmarking analysis of fault recovery in stream processing frameworks. In: PROCEEDINGS of the 18th ACM International Conference on Distributed and Event-based Systems. 2024. P. 171–182.